awesome-streamlit and streamlit-for-datascience
The two projects are complementary, as "awesome-streamlit" serves as a broad knowledge-sharing resource for Streamlit in general, while "streamlit-for-datascience" provides a more focused application demonstrating Streamlit's use specifically for building data science dashboards with data visualization and machine learning capabilities.
About awesome-streamlit
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
This project helps data scientists, analysts, and anyone working with data quickly transform their Python scripts into interactive web applications without needing web development expertise. You input your Python code, and the project outputs a polished, shareable web application, often featuring data visualizations or interactive controls. It's designed for Python users who want to present their data insights or tools in an accessible, user-friendly web format.
About streamlit-for-datascience
dataprofessor/streamlit-for-datascience
The Streamlit for Data Science shows how to build interactive data apps powered by data visualization and machine learning!!
This project teaches data professionals how to build interactive web applications for data analysis and machine learning. You will learn to take raw data, analyze it, visualize results, and embed machine learning models into user-friendly apps. This is ideal for data scientists, analysts, and researchers who want to share their insights and models with non-technical stakeholders.
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